Skip to main content
Log in

Differences according to gender and health status in CD4:CD8 ratio in a sample of community-dwelling oldest old. The OCTABAIX immune study

  • Original Article
  • Published:
Aging Clinical and Experimental Research Aims and scope Submit manuscript

Abstract

Background and aims: The presence of an immune-risk phenotype (IRP) has been correlated with survival rates in elderly people. The aim of this study is to characterize the inverted CD4:CD8 ratio as a possible marker of IRP in a sample of oldest old (85 years) by assessing differences in gender and health status. Methods: Comorbidity, functional status (Barthel Index), and cognitive status with the Spanish version of the Mini-Mental State Examination were evaluated. Non-disabled subjects were defined as those with better health status, with scores of >90 on the Barthel Index and >23 points on the Spanish version of the Mini-Mental State Examination. CD4:CD8 ratios were recorded, and a ratio of 1.00 or less was used to define IRF. Results: Three hundred and twelve subjects aged 85 years old were studied, 190 women (60.9%) and 122 men. The CD4:CD8 ratio was 1.00 or less in 47 subjects (15.6%) and higher than 2.2 in 115 (36.8%). There were no differences in CD4:CD8 ratio according to health status. The inverted CD4:CD8 ratio was more frequent in men (55.3%). Conclusion: In this community-dwelling, single year birth cohort study, the subgroup with poor health status did not have a lower CD4:CD8 ratio. The inverted CD4:CD8 ratio was more frequent in men.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Formiga F, Pujol R, Pérez-Castejon JM, Ferrer A, Henriquez E. Low comorbidity and male sex in nonagenarian communitydwelling people are associated with better functional and cognitive abilities: The NonaSantfeliu study. J Am Geriatr Soc 2005; 53: 1836–7.

    Article  PubMed  Google Scholar 

  2. Aw D, Silva AB, Palmer DB. Immunosenescence: emerging challenges for an ageing population. Immunology 2007; 120: 435–46.

    Article  CAS  PubMed  Google Scholar 

  3. De la Fuente M, Miquel J. An update of the oxidation-inflammation theory of aging: the involvement of the immune system in oxi-inflamm-aging. Curr Pharm Des. 2009; 15: 3003–26.

    Article  PubMed  Google Scholar 

  4. Ferguson FG, Wikby A, Maxson P, Olsson J, Johansson B. Immune parameters in a longitudinal study of a very old population of Swedish people: a comparison between survivors and nonsurvivors. J Gerontol A Biol Sci Med Sci 1995; 50: B378–82.

    Article  CAS  PubMed  Google Scholar 

  5. Wikby A, Maxson P, Olsson J et al. Changes in CD8 and CD4 lymphocyte subsets, T cell proliferation responses and non-survival in the very old: the Swedish longitudinal OCTO-immune study. Mech Ageing Dev 1998; 102: 187–98.

    Article  CAS  PubMed  Google Scholar 

  6. Strindhall J, Nilsson BO, Löfgren S et al. No immune-risk profile among individuals who reach 100 years of age: findings from the Swedish NONA immune longitudinal study. Exp Gerontol 2007; 42: 753–61.

    Article  CAS  PubMed  Google Scholar 

  7. Ferrer A, Badia T, Formiga F et al. Ensayo aleatorizado de prevención de caídas y malnutrición en personas de 85 años en la comunidad. Estudio OCTABAIX. Rev Esp Geriatr Gerontol 2010; 45: 79–85.

    Article  PubMed  Google Scholar 

  8. Mahoney FI, Barthel DW. Functional evaluation: the Barthel Index. A simple index of independence useful in scoring improvement in the rehabilitation of the chronically ill. Md State Med J 1965; 14: 61–5.

    CAS  PubMed  Google Scholar 

  9. Lawton MP, Brody EM. Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist 1969; 9: 179–86.

    Article  CAS  PubMed  Google Scholar 

  10. Lobo A, Saz P, Marcos G et al. Revalidación y normalización del Mini-Examen Cognoscitivo (primera versión en castellano del Mini-mental Status Examination) en la población general geriátrica. Med Clin (Barc) 1999; 112: 767–74.

    CAS  Google Scholar 

  11. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987; 40: 373–83.

    Article  CAS  PubMed  Google Scholar 

  12. Nilsson BO, Ernerudh J, Johansson B et al. Morbidity does not influence the T-cell immune-risk phenotype in the elderly: findings in the Swedish NONA immune study using sample selection protocols. Mech Ageing Dev 2003; 124: 469–76.

    Article  PubMed  Google Scholar 

  13. Pawelec G, Ferguson FG, Wikby A. The SENIEUR protocol after 16 years. Mech Ageing Dev 2001; 122: 132–4.

    Article  CAS  PubMed  Google Scholar 

  14. Wikby A, Månsson IA, Johansson B, Strindhall J, Nilsson SE. The immune-risk profile is associated with age and gender: findings from three Swedish population studies of individuals 20–100 years of age. Biogerontology. 2008; 92:99–308.

    Google Scholar 

  15. Formiga F, Vidaller A, Mestre M et al. Autoimmunity and immune- risk phenotype in nonagenarians: differences according to sex and health status. J Am Geriatr Soc 2008; 56: 1973–4.

    Article  PubMed  Google Scholar 

  16. Wikby A, Johansson B, Olsson J, Löfgren S, Nilsson BO, Ferguson F. Expansions of peripheral blood CD8 T-lymphocyte subpopulations and an association with cytomegalovirus seropositivity in the elderly: the Swedish NONA immune study. Exp Gerontol 2002; 37: 445–53.

    Article  CAS  PubMed  Google Scholar 

  17. Wikby A, Nilsson BO, Forsey R et al. The immune-risk phenotype is associated with IL-6 in the terminal decline stage: findings from the Swedish NONA immune longitudinal study of very late life functioning. Mech Aging 2006; 127: 695–704.

    Article  CAS  Google Scholar 

  18. Alonso-Fernández P, de la Fuente M. Marcadores inmunológicos de envejecimiento. Rev Esp Geriatr Gerontol 2008; 43: 157–79.

    Article  Google Scholar 

  19. Izaks GJ, Remarque EJ, Becker SV, Westendorp RGJ. Lymphocyte count and mortality risk in older persons. The Leiden 85-plus study. J Am Geriatr Soc 2003; 51: 1461–5.

    Article  PubMed  Google Scholar 

  20. Huppert FA, Pinto EM, Morgan K, Brayne C. Survival in a population sample is predicted by proportions of lymphocyte subsets. Mech Ageing Dev 2003; 124: 449–51.

    Article  PubMed  Google Scholar 

  21. Wikby A, Ferguson F, Forsey R et al. An immune-risk phenotype, cognitive impairment, and survival in very late life: impact of allostatic load in Swedish octogenarian and nonagenarian humans. J Gerontol Med Sci 2005; 5: 556–65.

    Article  Google Scholar 

  22. Ferrer A, Formiga F, Ruiz D, Mascaró J, Olmedo C, Pujol R. Predictive items of functional decline and 2-year mortality in nonagenarians — the NonaSantfeliu study. Eur J Public Health 2008; 18: 406–9.

    Article  PubMed  Google Scholar 

  23. De la Fuente M, Baeza I, Guayerbas N et al. Changes with ageing in several leukocyte functions of male and female rats. Biogerontology 2004; 5: 389–400.

    Article  PubMed  Google Scholar 

  24. Viña J, Sastre J, Pallardó FV, Gambini J, Borrás C. Role of mitochondrial oxidative stress to explain the different longevity between genders: protective effect of estrogens. Free Radic Res 2006; 40: 1359–65.

    Article  PubMed  Google Scholar 

  25. Alonso-Fernández P, Puerto M, Maté I, Ribera JM, de la Fuente M. Neutrophils of centenarians show function levels similar to those of young adults. J Am Geriatr Soc 2008; 56: 2244–51.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Francesc Formiga MD, PhD.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Formiga, F., Ferrer, A., Padros, G. et al. Differences according to gender and health status in CD4:CD8 ratio in a sample of community-dwelling oldest old. The OCTABAIX immune study. Aging Clin Exp Res 23, 268–272 (2011). https://doi.org/10.1007/BF03324966

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF03324966

Key words

Navigation